International journal of Nano Scientific Networks and Nanotechnology (IJNN) is a multidisciplinary, peer reviewed journal which includes all the major fields in nanotechnology and Nano science. Nanoscience and nanotechnology brought up an unprecedented excitement in the scientific and engineering communities, especially the last decade. It is the engineering of functional systems at the molecular scale. This covers both current work and concepts that are more advanced.  International journal of Nano Scientific Networks and Nanotechnology   publishes original research papers during a broad area of nanoscience & engineering. IJNN provides an ideal forum for presenting original reports of theoretical and experimental nanoscience and nanotechnology research. Nanotechnology is a gathering of rising innovations in which the structure of matter is controlled at the nanometer scale, the size of little quantities of molecules, to create novel materials and gadgets that have valuable and one of kind properties. IJNN is naturally multidisciplinary, and welcomes submissions across biological, physical, engineering, and computer sciences. Contributions from both academia and industry are equally encouraged. IJNN also publishes innovative techniques and instrumentation for the fabrication, characterization and testing of nano-enabled devices and technologies, as well as advanced modelling and simulation methods.





Associate Professor

Mladen Glavinovic received BEng (Electrical Engineering) and BSc (Physics) from University of Zagreb, MSc (Medical Biophysics) from University of Toronto, and PhD (Physiology) in 1978 from McGill University. M. Glavinovic was initially a Research Engineer in the Laboratory of Nuclear Spectroscopy, Rudjer Boskovic Institute in Zagreb. After gaining PhD he spent his Post-Doctoral years with Dr. Toshio Narahashi (Department of Pharmacology, Northwestern University) and Dr. Ricardo Miledi (Department of Biophysics, University College London). M. Glavinovic had been an Assistant Professor, and subsequently an Associate Professor at the Department of Physiology, Mc Gill University. His experimental work used classical methods of electrophysiology and amperometry to study the mechanism of secretion in neuro-endocrine cells and synapses (peripheral and central). Over the years he established and used modern engineering methods of signal processing (wavelet analysis, Kalman filtering, neural networks) and system identification methods for their study. In last two decades his interests shifted to computational nanoscience (Monte Carlo, molecular dynamics and continuous simulations using finite element method) to evaluate electrostatic, nanofluidic, elastic and electromechanical properties of physiological processes.

Current Research and Future Interests:

- Forces acting on pathogens in irregular nanopores - Irregular nanopores as shape detectors
- Composite nanosize dielectrics in liquid electrolyte
- Electric energy storage
- Evaluation of structural and dynamic properties of molecules (DNA, transmitters or hormones) by simulating their translocation through solid-state nanopores using ‘traditional’ semi-classical, quantum mechanical and multi-scale methods.

Ontario Cancer Institute Fellowship

University of Toronto Open Fellowship

Medical Research Council Fellowship

Medical Research Council Scholarship

Communications in Mathematical Biology and Neuroscience 

ISRN Biomathematics

International Journal of Biochemistry and Physiology